Posted on April 7th, 2020

In Focus – Apollo Mapping Imagery & Academia: Satellite Imagery for a Landcover Classification

Over the many years, Apollo Mapping has helped a countless number of academics and professors source the proper imagery for their grant-funded research budgets. Whether it is 8-band multispectral and short-wave infrared (SWIR) WorldView-3 satellite imagery for land-use land-cover mapping; 50-cm digital elevation models (DEMs) for archaeological research; or synthetic aperture radar (SAR) for monitoring weapons of mass destruction (WMDs) in remote regions, we have decades of expertise finding the correct geospatial data source for your next project.

A figure depicting Spaete et al.’s general study site as per a related academic publication.

In this regular series, In Focus, we scour the Internet to find former Apollo Mapping clients who used our satellite imagery and/or DEMs in their academic research. So without further ado, here is this month’s featured academic article.

Article Title, Author & Academic Institution: 2013 Morley Nelson Snake River Birds of Prey National Conservation Area RapidEye 7m Landcover Classification, Lucas Spaete et al., Boise State University

Key Scientific Discipline(s): conversation ecology, GIS and remote sensing

Executive Summary: Machine learning techniques were applied to a layer stack containing five-band 6.5-meter (m) RapidEye satellite imagery, as well as several derived raster indices, in order to automatically extract 14 classes of landcover from data collected over the Morley Nelson Snake River Birds of Prey National Conservation Area in Idaho.

Commercial Satellite Imagery Datasets Used: 6.5-m 5-band RapidEye

Are you a former Apollo Mapping academic client who would like to feature your research in a future edition of In Focus? If so, send us an email at sales@apollomapping.com, we would be happy to hear from you again!

Share This Article
This entry was posted in The Geospatial Times and tagged , , by Apollo Mapping. Bookmark the permalink.

Leave a Reply

Your email address will not be published. Required fields are marked *

Time limit is exhausted. Please reload CAPTCHA.

This site uses Akismet to reduce spam. Learn how your comment data is processed.

    The Geospatial Times Archive